Development of a binary classifier model from extended facial codes toward video-based pain recognition in cancer patients.

Objectives: The Automatic Pain Assessment (APA) relies on the exploitation of objective methods to evaluate the severity of pain and other pain-related characteristics. Facial expressions are the most investigated pain behavior features for APA. We constructed a binary classifier model for discriminating between the absence and presence of pain through video analysis.

Artificial Intelligence for Automatic Pain Assessment: Research Methods and Perspectives.

Although proper pain evaluation is mandatory for establishing the appropriate therapy, self-reported pain level assessment has several limitations. Data-driven artificial intelligence (AI) methods can be employed for research on automatic pain assessment (APA). The goal is the development of objective, standardized, and generalizable instruments useful for pain assessment in different clinical contexts.

Bibliometric Network Analysis on Rapid-Onset Opioids for Breakthrough Cancer Pain Treatment.

Background And Objectives: Proper breakthrough cancer pain (BTcP) management is of pivotal importance. Although rapid-acting, oral and nasal transmucosal, fentanyl formulations (rapid-onset opioids, ROOs) are licensed for BTcP treatment, not all guidelines recommend their use. Presumably, some research gaps need to be bridged to produce solid evidence.

A Delphi Consensus Approach for the Management of Chronic Pain during and after the COVID-19 Era.

Due to a lack of published evidence on the topic, a modified Delphi approach was used to develop recommendations useful for chronic pain management during and after the COVID-19 pandemic. Focusing on the available literature and personal clinical expertise, an Italian board of nine professionals from different disciplines identified four main topics: prevention of chronic pain, treatment of chronic pain, consequences of inadequate treatment, and perspectives. They elaborated a semi-structured questionnaire.